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Mistral_Sparse_refined_web_50p_2024-02-15 – AI Model by thrunlab | AlphaNeural AI
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thrunlab
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Mistral_Sparse_refined_web_50p_2024-02-15
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transformers
safetensors
sparse_mistral
text-generation
generated_from_trainer
custom_code
mistralai/Mistral-7B-v0.1
finetune
apache-2.0
autotrain_compatible
us
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Mistral_Sparse_refined_web_50p_2024-02-15
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.4040
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 0
distributed_type: multi-GPU
num_devices: 3
gradient_accumulation_steps: 8
total_train_batch_size: 24
total_eval_batch_size: 3
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 1
Training results
Framework versions
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.15.0
Tokenizers 0.15.0
